https://github.com/foobarbazfred/pico-micropython-workshop

MicroPython workshop materials, including code, documentation, and exercises.
https://github.com/foobarbazfred/pico-micropython-workshop

micropython physical-computing rapid-prototyping raspberry-pi-pico sensors tcp-ip web-application

Last synced: 6 months ago
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MicroPython workshop materials, including code, documentation, and exercises.

• Host: GitHub
• URL: https://github.com/foobarbazfred/pico-micropython-workshop
• Owner: foobarbazfred
• License: mit
• Created: 2025-05-29T13:10:57.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2025-10-05T08:39:03.000Z (6 months ago)
• Last Synced: 2025-10-05T10:25:31.405Z (6 months ago)
• Topics: micropython, physical-computing, rapid-prototyping, raspberry-pi-pico, sensors, tcp-ip, web-application
• Language: Python
• Homepage:
• Size: 296 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Complete Training Materials Using Raspberry Pi Pico W and MicroPython

## Seminar Overview

- Using MicroPython and Raspberry Pi Pico W, participants will create prototypes of various projects that integrate sensors and switches.

- This is a two-day course: on the first day, you will learn how to connect MicroPython with sensors and related devices, and how to build simple sensor applications.

- On the second day, the seminar is more practical; participants will form teams and design and implement applications from scratch (similar to a hands-on study session with advice).

  - Each team will first decide what to build and present their ideas, including what they want to innovate and what seems challenging.

  - For a set amount of time, members will divide tasks and collaborate to create their application. A shared drive will be provided for sharing materials.

  - If support is needed, assistance will be provided as much as possible. If direct answers are unavailable, hints will be offered.

  - After completion, each team will present their results, explaining what they improved, what was difficult, their discoveries, and what made the project interesting.

## About This Repository

- Training materials and sample code are managed in this repository.

- If participants agree, projects created during the seminar will be committed here as works by the attendees.

- All texts and sample code are open materials (MIT License).